Head of AI-Ready Data Platforms & Data Quality

Jobtailor

Santa Monica (CA)

On-site

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

Jobtailor is seeking a senior data engineering leader to direct a team delivering enterprise-grade data products and AI-ready assets for ecommerce analytics. You will design scalable pipelines and lakehouse architectures, partnering with Ecommerce, Product, Growth, and Finance to enable AI use cases and model-ready datasets.

You will champion data quality, governance, and observability, while guiding semantic layer design and data contracts.

Qualifications

  • 10+ years of data engineering experience.
  • 3+ years in a leadership role.
  • Direct ownership of ecommerce/digital commerce data domains.
  • Deep knowledge of lakehouse, real-time streaming, and batch processing.
  • Strong data modeling including dimensional modeling and feature engineering.
  • Proven leadership delivering AI-ready data platforms and ML workflows.
  • Experience with data quality, governance and observability.
  • Ability to translate business/AI requirements into scalable solutions.
  • Exposure to AdTech/MarTech; experience in music/entertainment industry preferred.
  • Experience with AWS/Azure/GCP and big data tech (Spark, Snowflake, Databricks).
  • Awareness of data governance and privacy principles; leadership in fast-paced environments.

Responsibilities

  • Lead and manage a team of data engineers delivering enterprise-grade data products and assets.
  • Design and deliver scalable data pipelines and architectures for analytics and AI workloads.
  • Partner with stakeholders across Ecommerce, Product, Growth, Finance, and Data Science.
  • Champion data quality, lineage, and governance across domains.
  • Lead development of semantic layers and standardized business definitions.
  • Structure data to support LLMs, knowledge graphs, personalization, and AI apps.
  • Own platform reliability, SLAs, monitoring, and incident management for data pipelines.
  • Enforce data contracts and schema governance; promote lakehouse and real-time patterns.
  • Guide platform optimization for performance, freshness, and cost; ensure compliance.

Skills

Leadership
Stakeholder Management
Cross-functional Collaboration
Mentoring
Strategic Communication
Data Modeling
Feature Engineering
Semantic Layer Design
Dimensional Modeling
Data Governance
Data Quality
Presentation Skills

Tools

AWS
Azure
GCP
Spark
Snowflake
Databricks

Job description

Jobtailor is seeking a senior data engineering leader to direct a team delivering enterprise-grade data products and AI-ready assets for ecommerce analytics. You will design scalable pipelines and lakehouse architectures, partnering with Ecommerce, Product, Growth, and Finance to enable AI use cases and model-ready datasets.

You will champion data quality, governance, and observability, while guiding semantic layer design and data contracts.

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